Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/756

Intercausal independence and heterogeneous actorization

Authors Zhang, Nevin Lianwen
Poole, David
Issue Date 1994
Source Proceedings of the 10th conference on uncertainties in artificial intelligence (UAI '94), Seattle, USA , 1994, July
Summary A constructive definition of intercausal independence is given. It is well known that conditional independence implies factorization of joint probability. Under the constructive definition, intercausal independence implies factorization of conditional probability. An inference algorithm is developed, which makes use of both conditional independence and intercausal independence to reduce inference complexity in Bayesian networks.
Subjects
Language English
Format Conference paper
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